Table 1.

Regression estimates for regressions predicting BOLD activity in the Dorsal and Ventral Value Networks based on simultaneous predictors for task condition (Choose > Like), set liking, condition x liking interaction, (log) evaluation time, and network (VVN > DVN).

Outcome	Predictor	β	SEM	t	p
Dorsal Value Network
	Condition (Choose > Like)	0.11	0.04	3.06	0.003
	Set liking	0.09	0.02	3.25	0.003
	Condition*liking	−0.02	0.04	−0.52	0.61
	Evaluation time	−0.02	0.02	−0.81	0.43
Ventral Value Network
	Condition (Choose > Like)	0.36	0.05	7.06	<0.001
	Set liking	0.07	0.03	2.59	0.015
	Condition*liking	0.02	0.05	0.46	0.65
	Evaluation time	0.07	0.02	3.57	<0.001
Both Networks
	Network (VVN > DVN)	−0.12	0.04	−3.35	0.001
	Condition (Choose > Like)	0.11	0.04	2.88	0.006
	Set liking	0.09	0.03	2.86	0.008
	Condition*liking	−0.02	0.05	−0.42	0.68
	Evaluation time	−0.02	0.02	−0.78	0.44
	Network*condition	0.25	0.06	4.49	<0.001
	Network*liking	−0.02	0.03	−0.69	0.49
	Network*condition*liking	0.04	0.05	0.86	0.39
	Network*evaluation time	0.08	0.03	3.24	0.001